Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Couchbase instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora PostgreSQL to Couchbase integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL and Couchbase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
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Why teams connect AWS Aurora PostgreSQL and Couchbase
Keep AWS Aurora PostgreSQL and Couchbase synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between AWS Aurora PostgreSQL and Couchbase continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
- Feed operational dashboards from a read replica while the writer handles sync traffic.
- Stream document mutations via DCP into downstream systems so caches, search indexes, or warehouses stay current.
- Two-way sync between Couchbase (serving application data) and a CRM so support and sales teams see live application state.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both AWS Aurora PostgreSQL and Couchbase, so each workload runs on the engine that suits it.
What you can sync between AWS Aurora PostgreSQL and Couchbase
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| AWS Aurora PostgreSQL objects | Couchbase objects | |
|---|---|---|
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Full-text search indexes Search indexes over documents, relevant when syncing searchable content. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. |
What ships with AWS Aurora PostgreSQL ⇄ Couchbase
Connect AWS Aurora PostgreSQL and Couchbase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Couchbase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or Couchbase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Couchbase record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ Couchbase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Couchbase.
How the AWS Aurora PostgreSQL and Couchbase connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
Couchbase
- Integration surface
- SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs
- Authentication
- Database credentials with role-based access control, typically over TLS
- Change detection
- Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by cluster sizing rather than API rate limits
How it works
How to connect AWS Aurora PostgreSQL to Couchbase — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate AWS Aurora PostgreSQL and Couchbase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
AWS Aurora PostgreSQL
connected
Couchbase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL and Couchbase objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · AWS Aurora PostgreSQL ⇄ CouchbaseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora PostgreSQL CouchbaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Couchbase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Couchbase: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Views and materialized views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Couchbase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Couchbase integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Couchbase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Couchbase: Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the AWS Aurora PostgreSQL side: Rows, Columns, Primary keys and constraints, Views and materialized views, plus custom fields where AWS Aurora PostgreSQL exposes them. On the Couchbase side: Full-text search indexes, Buckets, Scopes, Collections. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
SECURITY
Security teams love Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and Couchbase.
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ Supabase -
AWS Aurora PostgreSQL ⇄ MySQL -
AWS Aurora PostgreSQL ⇄ MariaDB -
AWS Aurora PostgreSQL ⇄ SQL Server -
Couchbase ⇄ PostgreSQL -
Couchbase ⇄ Amazon RDS - Couchbase ⇄ Supabase
- Couchbase ⇄ MySQL
No integrations match .
